e-Splitting-Approach-for-Multi-user-MISO-systems-
所属分类：人工智能/神经网络/深度学习
开发工具：matlab
文件大小：29KB
下载次数：2
上传日期：2020-02-03 11:15:28
上 传 者：
sh-1993
说明： A-Genetic-Algorithm-based-Rate-Splitting-Approach-for-Multi-user-MISO-systems-，在速率拆分（RS）方法中，每个消息被分为公共消息和私有消息。这个项目...
(In a Rate Splitting (RS) approach, each message is divided into a common message and private messages. This project is introduced based on the genetic algorithm (GA) to finding an optimal power ratio, suggesting a simple systematic method for power dividing. this solution may be more exact but since it is an iterative approach, increases the)
文件列表:
adeli_zfp_zfrvq1.m (2564, 2020-02-03)
adeli_zfp_zfrvq2.m (6553, 2020-02-03)
adeli_zfp_zfrvq3.m (6846, 2020-02-03)
adelifun_1.m (2654, 2020-02-03)
adelifun_2.m (2721, 2020-02-03)
compute_P1_rate.m (1003, 2020-02-03)
compute_ZF_rate.m (413, 2020-02-03)
main.m (2275, 2020-02-03)
mud_scheme_comp.m (1354, 2020-02-03)
plottt_cap.m (180, 2020-02-03)
quantiz_channels.m (1500, 2020-02-03)
untitled4.fig (16133, 2020-02-03)
# A-Genetic-Algorithm-based-Rate-Splitting-Approach-for-Multi-user-MISO-systems-
In a Rate Splitting (RS) approach, each message is divided into a common message and some private messages. This project is introduced based on the genetic algorithm (GA) to finding an optimal power splitting ratio, suggesting a systematic method for dividing power. this solution may be more exact but since it is an iterative approach, it increases processing time of transmission.
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